Solution
Content A/B Testing & Revenue Attribution
Most catalog optimization is faith-based: you rewrite descriptions and hope conversions improve. Measured tests (Business and up) and pilots compare changed products with a comparable group left unchanged, and report the lift with an interval. Impact tracking estimates what every other applied change did.
The Problem
Catalog optimization suffers from a measurement problem that prevents most ecommerce teams from investing in it appropriately. You know intuitively that better content should drive better conversion, but you can't point to a revenue number. Without that, content optimization competes for budget against channels like paid ads that have clear, measurable returns.
The technical challenge is that product description testing isn't like landing page testing. Traffic to individual product pages is noisy, influenced by ad spend, seasonal demand, and inventory status. A crude before/after comparison cannot separate the content change from everything else that moved.
Most ecommerce platforms don't have native content testing, and most analytics setups can't tie revenue back to a specific content change.
How EcomIQX Solves It
A measured test (Business plan and up) splits a set of products into a treatment group that gets the new content and a control group that keeps the current content. Products are assigned at random, or matched so the two groups look alike before the test starts.
The test first collects a baseline period, then runs for the test period you set (four weeks each by default). It tracks the primary metric you choose (revenue, organic clicks, impressions or CTR) from your connected store, Search Console and analytics data.
A test can end before its period is over in two cases: when the changed products are almost certainly doing worse, so the harm stops early; or when they are all but certainly doing better and each group already has at least twice the minimum sample the test was set up with. Either way the test then goes to analysis, the same as a test that ran its full period.
When the test period ends, EcomIQX reports the lift with its confidence and a difference-in-differences adjusted lift, and recommends rolling the change out to all tested products or rolling it back. You decide. Outside measured tests, impact tracking on paid plans compares each changed product's clicks and revenue before and after the change with similar unchanged products: an estimate with a confidence score, not a controlled test.
Key benefits of Content A/B Testing & Revenue Attribution
A control group, not before/after guesswork
The control group keeps its content for the whole test, so seasonality and market-wide movement show up in both groups and drop out of the comparison.
Lift with its confidence
Every completed test reports the lift on its primary metric, its confidence, and a difference-in-differences adjusted lift, from your connected store and analytics data.
Learnings from completed tests
Completed tests feed the learnings your automations use when they draft the next fixes, so what worked in one category informs the next proposal.
Roll out or roll back with one decision
When a test ends you roll the winning content out to every tested product, or roll the tested products back to their original content. Every step is logged.
Works with your platform
Run a measured test on the Business plan and up: change a group of products and compare it with a group left unchanged.
The free audit needs no account: enter your store address and we email you a private report on up to 500 of your product pages.
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Start Your Free
Catalog Audit
The free audit needs no account: enter your store address and we email you a private report on up to 500 of your product pages.